Igor Jasielczuk

966 total citations
43 papers, 570 citations indexed

About

Igor Jasielczuk is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Igor Jasielczuk has authored 43 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 10 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Igor Jasielczuk's work include Genetic and phenotypic traits in livestock (23 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Genetic diversity and population structure (7 papers). Igor Jasielczuk is often cited by papers focused on Genetic and phenotypic traits in livestock (23 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Genetic diversity and population structure (7 papers). Igor Jasielczuk collaborates with scholars based in Poland, United Kingdom and Czechia. Igor Jasielczuk's co-authors include Artur Gurgul, Tomasz Szmatoła, Monika Bugno‐Poniewierska, Ewelina Semik‐Gurgul, Katarzyna Ropka‐Molik, Tomasz Ząbek, Klaudia Pawlina‐Tyszko, Kacper Żukowski, Monika Stefaniuk‐Szmukier and Z. Litwińczuk and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Igor Jasielczuk

38 papers receiving 562 citations

Peers

Igor Jasielczuk

GENET

ACS

Heidi Signer‐Hasler Switzerland

Hojjat Asadollahpour Nanaei Iran

Eui-Soo Kim United States

Ingolf Ruß Germany

Gabriele Marras Italy

Kay‐Uwe Götz Germany

Maja Ferenčaković Croatia

Rafael Medeiros de Oliveira Silva Brazil

Hussain Bahbahani Kuwait

Harmen P. Doekes Netherlands

Heidi Signer‐Hasler Switzerland

Igor Jasielczuk

571 ×1.2

GENET

135 ×1.1

67 ×0.7

109 ×1.2

98 ×1.4

ACS

Citations per year, relative to Igor Jasielczuk Igor Jasielczuk (= 1×) peers Heidi Signer‐Hasler

Countries citing papers authored by Igor Jasielczuk

Since Specialization

Citations

This map shows the geographic impact of Igor Jasielczuk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Igor Jasielczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Jasielczuk more than expected).

Fields of papers citing papers by Igor Jasielczuk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor Jasielczuk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Igor Jasielczuk. The network helps show where Igor Jasielczuk may publish in the future.

Co-authorship network of co-authors of Igor Jasielczuk

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Jasielczuk. A scholar is included among the top collaborators of Igor Jasielczuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Igor Jasielczuk. Igor Jasielczuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gurgul, Artur, et al.. (2025). Impact of modulating leptin sensitivity on the transcriptomic profile of adult-derived hypothalamic mouse neurons. Frontiers in Molecular Neuroscience. 17. 1518737–1518737. 1 indexed citations

Gurgul, Artur, et al.. (2025). Elucidating the transcriptomic response of adult-derived mHypoA-2/12 mouse hypothalamic neuron cell line to cannabidiol (CBD) exposure. Journal of Applied Genetics. 66(4). 1029–1051.

Jasielczuk, Igor, et al.. (2025). Genetic and physiological influences on the rumen microbiome and metabolic status in Holstein cows. Journal of Dairy Science. 108(10). 10869–10887.

Ocalewicz, Konrad, Artur Gurgul, Stefan Dobosz, et al.. (2025). Transcriptome Profiling Reveals Differences Between Rainbow Trout Eggs with High and Low Potential for Gynogenesis. Genes. 16(7). 803–803.

Szmatoła, Tomasz, Katarzyna Ropka‐Molik, Igor Jasielczuk, Aldona Kawęcka, & Artur Gurgul. (2025). Exploring Runs of Homozygosity and Heterozygosity in Sheep Breeds Maintained in Poland. Genes. 16(6). 709–709. 1 indexed citations

Szmatoła, Tomasz, et al.. (2024). Impact of Long-Term Cannabidiol (CBD) Treatment on Mouse Kidney Transcriptome. Genes. 15(12). 1640–1640. 1 indexed citations

Jasielczuk, Igor, et al.. (2024). The use of SNP markers for cattle breed identification. Journal of Applied Genetics. 65(3). 575–589. 2 indexed citations

Gurgul, Artur, et al.. (2023). Application of Nanopore Sequencing for High Throughput Genotyping in Horses. Animals. 13(13). 2227–2227. 2 indexed citations

Szmatoła, Tomasz, Artur Gurgul, Igor Jasielczuk, et al.. (2022). Assessment and Distribution of Runs of Homozygosity in Horse Breeds Representing Different Utility Types. Animals. 12(23). 3293–3293. 12 indexed citations

10.

Chaber, Radosław, Artur Gurgul, Jacek Tabarkiewicz, et al.. (2022). MicroRNA gene methylation landscape in pediatric B-cell precursor acute lymphoblastic leukemia. Advances in Clinical and Experimental Medicine. 31(3). 293–305. 3 indexed citations

11.

Gurgul, Artur, Tomasz Szmatoła, Igor Jasielczuk, et al.. (2022). Another lesson from unmapped reads: in-depth analysis of RNA-Seq reads from various horse tissues. Journal of Applied Genetics. 63(3). 571–581. 2 indexed citations

12.

Gurgul, Artur, et al.. (2021). A genome-wide association study for prolificacy in three Polish sheep breeds. Journal of Applied Genetics. 62(2). 323–326. 17 indexed citations

13.

Gurgul, Artur, et al.. (2021). Suitability of Pedigree Information and Genomic Methods for Analyzing Inbreeding of Polish Cold-Blooded Horses Covered by Conservation Programs. Genes. 12(3). 429–429. 18 indexed citations

14.

Danielewicz, Hanna, Artur Gurgul, Anna Dębińska, et al.. (2020). Maternal atopy and offspring epigenome-wide methylation signature. Epigenetics. 16(6). 629–641. 12 indexed citations

15.

Gurgul, Artur, Igor Jasielczuk, Ewelina Semik‐Gurgul, et al.. (2020). Genetic Differentiation of the Two Types of Polish Cold-blooded Horses Included in the National Conservation Program. Animals. 10(3). 542–542. 5 indexed citations

16.

Szmatoła, Tomasz, Igor Jasielczuk, Ewelina Semik‐Gurgul, et al.. (2020). Detection of runs of homozygosity in conserved and commercial pig breeds in Poland. Journal of Animal Breeding and Genetics. 137(6). 571–580. 23 indexed citations

17.

Gurgul, Artur, Igor Jasielczuk, Ewelina Semik‐Gurgul, et al.. (2019). A genome-wide scan for diversifying selection signatures in selected horse breeds. PLoS ONE. 14(1). e0210751–e0210751. 60 indexed citations

18.

Szmatoła, Tomasz, Artur Gurgul, Igor Jasielczuk, et al.. (2019). A Comprehensive Analysis of Runs of Homozygosity of Eleven Cattle Breeds Representing Different Production Types. Animals. 9(12). 1024–1024. 50 indexed citations

19.

Gurgul, Artur, et al.. (2019). Diversifying selection signatures among divergently selected subpopulations of Polish Red cattle. Journal of Applied Genetics. 60(1). 87–95. 12 indexed citations

20.

Gurgul, Artur, Tomasz Szmatoła, Ewelina Semik‐Gurgul, et al.. (2018). Evaluation of genotyping by sequencing for population genetics of sibling and hybridizing birds: an example using Syrian and Great Spotted Woodpeckers. Journal für Ornithologie. 160(1). 287–294. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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